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Lead Data Architect

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Work setting
Not stated
Employment
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What you’ll work on

Full posting
  • Lead design and rollout of modern data platform architectures

  • Build robust data pipelines and storage solutions for performance and security

  • Mentor and guide a team of data engineers

  • Partner with clients to define and implement data-driven solutions

From the employer’s posting
Lead the design and implementation of modern data platform architectures.
Drive the development of robust data pipelines and storage solutions using cutting-edge technologies, ensuring optimal performance, scalability, and security.
Mentor and guide a team of Data Engineers, ensuring project success and technical excellence.
Partner with clients to define and implement strategic, data-driven solutions.

What you’ll bring

All qualifications

Core experience

  • At least 5 years of professional data-related ICT project experience
  • Master's degree or PhD in a quantitative or engineering field
  • Experience with at least one cloud platform (Azure, Google Cloud, AWS)
  • Advanced SQL and experience with DBT or Dataform
  • Strong communication skills in Norwegian and English
Qualification wording
At least 5 years professional experience with data related ICT projects.
A master’s degree or PhD in Mathematics, Statistics, Computer Science, Engineering, Business Engineering, Physics or any related field.
Experience with at least one Cloud platform (Azure, Google cloud, AWS).
Advanced SQL skills, with experience in writing and optimizing complex queries for large datasets.
Strongcommunication and presentation skills in Norwegian andEnglish.
Education & alternatives
As an ideal candidate you have: - A master’s degree or PhD in Mathematics, Statistics, Computer Science, Engineering, Business Engineering, Physics or any related field. - At least 5 years professional experience with data related ICT projects.

About Orange Business

Orange Business is a leading network and digital integrator company with 30 000 experts located in offices in 65 countries worldwide, and part of the Orange Group.

In the employer’s words · Read in context

Apply at Orange Business

Posting record

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 5, 2026today
Recorded sightings
1

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 0

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From 7,977 similar postings that came down. Coming down is not always a hire.

Orange Business is hiring

26 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Bash
  • Java
  • Python
  • Scala
  • SQL
  • AWS
  • Azure
  • BigQuery
  • Databricks
  • dbt
  • Docker
  • Hadoop
  • Kafka
  • Kubernetes
  • NoSQL
  • Redshift
  • Snowflake
  • Spark
  • Airflow
  • GCP
Where the posting names them
- Deployment & Orchestration:Knowledge of Docker and orchestration platforms (Kubernetes, Openshift, AKS, GKE...) with experience in deploying and managing containerized applications.Experience with micro-services & event-driven architecture. - Scripting & Unix: Knowledge of Unix environments & scripting languages such as Bash, Powershell,… - Data Modeling & Concepts: Knowledge of the Data Mesh concept & Experience with the DataVault 2.0 modeling methodology.
- Experience with SQL orchestration tool such as DBT or Dataform. - Programming: Experience with at least one programming language: Python, Scala, Java, etc. - DevOps methodologies: Strong experience with CI/CD processes and tools (GIT, Azure DevOps, GitLab).
- Data warehouse: Experience with Cloud data warehouses (Snowflake, Databricks, BigQuery, Synapse Analytics, Redshift). - Data Processing: Advanced SQL skills, with experience in writing and optimizing complex queries for large datasets. - Experience with SQL orchestration tool such as DBT or Dataform.
- Data Processing: Advanced SQL skills, with experience in writing and optimizing complex queries for large datasets. - Experience with SQL orchestration tool such as DBT or Dataform. - Programming: Experience with at least one programming language: Python, Scala, Java, etc.
- Deep understanding of data modeling techniques, including relational (Kimball, normalization) and NoSQL databases. - Cloud Platforms: Experience with at least one Cloud platform (Azure, Google cloud, AWS). - Data warehouse: Experience with Cloud data warehouses (Snowflake, Databricks, BigQuery, Synapse Analytics, Redshift).
- At Carrefour, Orange Business ensures the seamless operation and evolution of the Data Platform, managing both analytical and operational data flows with a focus on reliability and performance. We handle diverse workloads, including batch and stream processing. By processing everyday terabytes of data that feed dashboards and web APIs, we empower Carrefour to leverage data-driven insights and support their business growth. - Big Pharma International Company: Orange Business migrated a Drug Discovery Data Platform hosted on-premises from a Hadoop stack to Azure. During the migration, we improved various data flows to reduce processing time, implemented proactive data quality checks, and optimized the CI/CD pipelines. Our efforts resulted in a more efficient and reliable platform, allowing scientists to quickly and safely assess the potential of tested molecules for new drugs development. - For Paradigm, Orange Business created a data platform and a unified set of tools for all public sector to conduct data projects, with a focus on Kubernetes and DevOps processes to enable self-service and standardization. We were able to handle many projects from all administrations, ranging from API management to data processing & analytics, as well as data science modelling
- Programming: Experience with at least one programming language: Python, Scala, Java, etc. - DevOps methodologies: Strong experience with CI/CD processes and tools (GIT, Azure DevOps, GitLab). - Strongcommunication and presentation skills in Norwegian andEnglish.
- Industry Trends and Monitoring:Stay updated on industry trends, emerging technologies, and obtain relevant certifications to ensure the application of best practices in data architecture. - Technologies: Sourcing, capturing, transforming, and preparing data using the newest technologies such as Kafka, Spark, DBT, Snowflake, BigQuery, Synapse, Databricks, Airflow, Elasticsearchand many more. As an ideal candidate you have:
- Cloud Platforms: Experience with at least one Cloud platform (Azure, Google cloud, AWS). - Data warehouse: Experience with Cloud data warehouses (Snowflake, Databricks, BigQuery, Synapse Analytics, Redshift). - Data Processing: Advanced SQL skills, with experience in writing and optimizing complex queries for large datasets.
It is not a requirement, but other preferred qualifications would be: - Deployment & Orchestration:Knowledge of Docker and orchestration platforms (Kubernetes, Openshift, AKS, GKE...) with experience in deploying and managing containerized applications.Experience with micro-services & event-driven architecture. - Scripting & Unix: Knowledge of Unix environments & scripting languages such as Bash, Powershell,…
- Big Pharma International Company: Orange Business migrated a Drug Discovery Data Platform hosted on-premises from a Hadoop stack to Azure. During the migration, we improved various data flows to reduce processing time, implemented proactive data quality checks, and optimized the CI/CD pipelines. Our efforts resulted in a more efficient and reliable platform, allowing scientists to quickly and safely assess the potential of tested molecules for new drugs development. - For Paradigm, Orange Business created a data platform and a unified set of tools for all public sector to conduct data projects, with a focus on Kubernetes and DevOps processes to enable self-service and standardization. We were able to handle many projects from all administrations, ranging from API management to data processing & analytics, as well as data science modelling If you want to take part in this exciting journey, please take a look at the following requirements and let’s meet up if that matches your profile!
- Data Platform Architecture: Experience with Modern Data platform architecture rollout from conception to implementation. - Deep understanding of data modeling techniques, including relational (Kimball, normalization) and NoSQL databases. - Cloud Platforms: Experience with at least one Cloud platform (Azure, Google cloud, AWS).

Your next step

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Demand for Data Leadership roles

New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.

Weekly new Data Leadership postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 789, the most 1,208, and the latest week had 846.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 5 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Leadership, by the work the posting describes.

Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.

Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.

Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.

US government figures for computer and information systems managers

Median yearly pay, May 2025
$175,140
Expected change, 2025 to 2035
15.8% more jobsagainst 3.5% for all jobs

The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.

Job description

View original posting ↗

Publication date : Oct 07, 2025, 12:32PM

Do you want to join Orange Business as a Lead Data Architect?

The team, position & mission:

Ever wondered what it feels like to be at the cutting edge of digital innovation? Our team at Orange Business is a dynamic community of expert consultants revolutionizing Customer Experience, Cloud, Data, and AI across various sectors, including retail, finance, manufacturing, life sciences, and public services.

With 30 years of expertise, we remain at the forefront of innovation, revolutionizing business transformation across industry with the full potential of vanguard Data technologies at scale in a sustainable way.By joining us, you will be part of a global impact on businesses around the world.


Check out some of our ongoing projects:

  • At Carrefour, Orange Business ensures the seamless operation and evolution of the Data Platform, managing both analytical and operational data flows with a focus on reliability and performance. We handle diverse workloads, including batch and stream processing. By processing everyday terabytes of data that feed dashboards and web APIs, we empower Carrefour to leverage data-driven insights and support their business growth.

  • Big Pharma International Company: Orange Business migrated a Drug Discovery Data Platform hosted on-premises from a Hadoop stack to Azure. During the migration, we improved various data flows to reduce processing time, implemented proactive data quality checks, and optimized the CI/CD pipelines. Our efforts resulted in a more efficient and reliable platform, allowing scientists to quickly and safely assess the potential of tested molecules for new drugs development.

  • For Paradigm, Orange Business created a data platform and a unified set of tools for all public sector to conduct data projects, with a focus on Kubernetes and DevOps processes to enable self-service and standardization. We were able to handle many projects from all administrations, ranging from API management to data processing & analytics, as well as data science modelling

If you want to take part in this exciting journey, please take a look at the following requirements and let’s meet up if that matches your profile!




Your key areas of responsibility as a Lead Data Architect:

As a Lead Data Architect, you will engage in developing and implementing organizational cloud data strategy in line with business processes. Your role will be pivotal in driving innovative data solutions and leveraging the full potential of data technologies at scale.

  • Data Platform Architecture:Lead the design and implementation of modern data platform architectures.Drive the development of robust data pipelines and storage solutions using cutting-edge technologies, ensuring optimal performance, scalability, and security.

  • Mentorship and Team Guidance: Mentor and guide a team of Data Engineers, ensuring project success and technical excellence.

  • Client Engagement and Strategy:Partner with clients to define and implement strategic, data-driven solutions.

  • Industry Trends and Monitoring:Stay updated on industry trends, emerging technologies, and obtain relevant certifications to ensure the application of best practices in data architecture.

  • Technologies: Sourcing, capturing, transforming, and preparing data using the newest technologies such as Kafka, Spark, DBT, Snowflake, BigQuery, Synapse, Databricks, Airflow, Elasticsearchand many more.



As an ideal candidate you have:

  • A master’s degree or PhD in Mathematics, Statistics, Computer Science, Engineering, Business Engineering, Physics or any related field.

  • At least 5 years professional experience with data related ICT projects.

  • Data Platform Architecture: Experience with Modern Data platform architecture rollout from conception to implementation.

  • Deep understanding of data modeling techniques, including relational (Kimball, normalization) and NoSQL databases.

  • Cloud Platforms: Experience with at least one Cloud platform (Azure, Google cloud, AWS).

  • Data warehouse: Experience with Cloud data warehouses (Snowflake, Databricks, BigQuery, Synapse Analytics, Redshift).

  • Data Processing: Advanced SQL skills, with experience in writing and optimizing complex queries for large datasets.

  • Experience with SQL orchestration tool such as DBT or Dataform.

  • Programming: Experience with at least one programming language: Python, Scala, Java, etc.

  • DevOps methodologies: Strong experience with CI/CD processes and tools (GIT, Azure DevOps, GitLab).

  • Strongcommunication and presentation skills in Norwegian andEnglish.

  • You are able to explain technical concepts to a non-technical audience and know how to have a professional and commercial approach with customers.

It is not a requirement, but other preferred qualifications would be:

  • Deployment & Orchestration:Knowledge of Docker and orchestration platforms (Kubernetes, Openshift, AKS, GKE...) with experience in deploying and managing containerized applications.Experience with micro-services & event-driven architecture.

  • Scripting & Unix: Knowledge of Unix environments & scripting languages such as Bash, Powershell,…

  • Data Modeling & Concepts: Knowledge of the Data Mesh concept & Experience with the DataVault 2.0 modeling methodology.


What we offer you:

  • Hybrid ways of working with access to our modern & collaborative office in Oslo.

  • An open and inclusive culture, that enables us to reach our full potential.

  • A community of experts - as Digital Natives, we put innovation at the heart of our expertise.

  • Read more about the benefits we offer here.

About Orange Business

Orange Business is a leading network and digital integrator company with 30 000 experts located in offices in 65 countries worldwide, and part of the Orange Group.

We combine our history as a telco operator with the rigor of a network and connectivity expert and the agility of a global digital solutions integrator. Our joint mission is to help innovate, drive and lead them in their digital transformation challenges and business strategies in key digital domains, including Cloud, Customer Experience, and Data & AI. As an agile and fast-moving digital business partner, the business line offers trusted end-to-end solutions and products that help businesses in a wide range of industries in the private and public sector transform their operations, enhance customer experience, and drive growth.

With our digital expertise, we are a strategic partner of Orange Business objectives to be a leading network and digital integrator with our team as a key growth engine.

The process:
We screen applications on an ongoing basis.

Interested but feel that you don't match the criteria 100%? We encourage you to apply anyway! We believe in the potential of diverse skill sets, perspectives and individuality. We want to encourage everyone to be their authentic selves and your unique capabilities may align perfectly with our team's needs! Your perfect match might be the next job we are announcing, so why not have a head start and apply now!

Are you interested to read more about Orange Business? Visit our Website or follow ourLinkedInaccount.

At Orange, only your skills matter.

Regardless of your age, gender, background, origin, religion, sexual orientation, disability, neurodiversity, or appearance, we actively encourage diversity within our teams, as it is a collective strength and a driver of innovation.
Orange is a disability-inclusive employer: please feel free to let us know about any specific needs you may have.

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Oslo, Norway

What we offer you: - Hybrid ways of working with access to our modern & collaborative office in Oslo. - An open and inclusive culture, that enables us to reach our full potential.
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